Overview

Dataset statistics

Number of variables32
Number of observations4104
Missing cells0
Missing cells (%)0.0%
Duplicate rows249
Duplicate rows (%)6.1%
Total size in memory1.0 MiB
Average record size in memory256.0 B

Variable types

Numeric30
Categorical2

Alerts

rake has constant value "90.0" Constant
Dataset has 249 (6.1%) duplicate rowsDuplicates
latitude is highly correlated with delta_logl and 2 other fieldsHigh correlation
longitude is highly correlated with rake_offset and 6 other fieldsHigh correlation
magnitude is highly correlated with dip_offset and 9 other fieldsHigh correlation
delta_logl is highly correlated with latitude and 10 other fieldsHigh correlation
delta_logw is highly correlated with slipHigh correlation
depth_offset is highly correlated with delta_logl and 5 other fieldsHigh correlation
dip_offset is highly correlated with magnitude and 10 other fieldsHigh correlation
strike_offset is highly correlated with strike_offset_paramHigh correlation
rake_offset is highly correlated with longitude and 5 other fieldsHigh correlation
latitude_param is highly correlated with latitude and 2 other fieldsHigh correlation
longitude_param is highly correlated with longitude and 6 other fieldsHigh correlation
length is highly correlated with magnitude and 7 other fieldsHigh correlation
width is highly correlated with magnitude and 6 other fieldsHigh correlation
slip is highly correlated with latitude and 14 other fieldsHigh correlation
dip is highly correlated with longitude and 2 other fieldsHigh correlation
depth_offset_param is highly correlated with delta_logl and 5 other fieldsHigh correlation
rake_offset_param is highly correlated with longitude and 5 other fieldsHigh correlation
dip_offset_param is highly correlated with magnitude and 10 other fieldsHigh correlation
strike_offset_param is highly correlated with strike_offsetHigh correlation
Bulukumba height is highly correlated with longitude and 13 other fieldsHigh correlation
Bulukumba arrival is highly correlated with longitude and 5 other fieldsHigh correlation
Sumenep height is highly correlated with magnitude and 8 other fieldsHigh correlation
Sumenep arrival is highly correlated with magnitude and 6 other fieldsHigh correlation
Nipa-Nipa height is highly correlated with longitude and 14 other fieldsHigh correlation
Bima height is highly correlated with magnitude and 11 other fieldsHigh correlation
latitude is highly correlated with delta_logl and 6 other fieldsHigh correlation
longitude is highly correlated with rake_offset and 4 other fieldsHigh correlation
magnitude is highly correlated with dip_offset and 5 other fieldsHigh correlation
delta_logl is highly correlated with latitude and 6 other fieldsHigh correlation
delta_logw is highly correlated with latitude and 6 other fieldsHigh correlation
depth_offset is highly correlated with depth_offset_param and 2 other fieldsHigh correlation
dip_offset is highly correlated with magnitude and 3 other fieldsHigh correlation
strike_offset is highly correlated with strike_offset_paramHigh correlation
rake_offset is highly correlated with longitude and 2 other fieldsHigh correlation
fault_idx is highly correlated with latitude and 6 other fieldsHigh correlation
latitude_param is highly correlated with latitude and 6 other fieldsHigh correlation
longitude_param is highly correlated with longitude and 4 other fieldsHigh correlation
length is highly correlated with magnitude and 5 other fieldsHigh correlation
width is highly correlated with latitude and 8 other fieldsHigh correlation
slip is highly correlated with latitude and 7 other fieldsHigh correlation
strike is highly correlated with latitude and 6 other fieldsHigh correlation
depth_offset_param is highly correlated with depth_offset and 2 other fieldsHigh correlation
rake_offset_param is highly correlated with longitude and 2 other fieldsHigh correlation
dip_offset_param is highly correlated with magnitude and 3 other fieldsHigh correlation
strike_offset_param is highly correlated with strike_offsetHigh correlation
Bulukumba height is highly correlated with longitude and 7 other fieldsHigh correlation
Bulukumba arrival is highly correlated with longitude and 6 other fieldsHigh correlation
Sumenep arrival is highly correlated with magnitude and 4 other fieldsHigh correlation
Nipa-Nipa height is highly correlated with slip and 2 other fieldsHigh correlation
Bima height is highly correlated with magnitude and 3 other fieldsHigh correlation
latitude is highly correlated with fault_idx and 3 other fieldsHigh correlation
longitude is highly correlated with fault_idx and 3 other fieldsHigh correlation
magnitude is highly correlated with dip_offset and 7 other fieldsHigh correlation
delta_logl is highly correlated with fault_idx and 5 other fieldsHigh correlation
delta_logw is highly correlated with fault_idx and 3 other fieldsHigh correlation
depth_offset is highly correlated with fault_idx and 7 other fieldsHigh correlation
dip_offset is highly correlated with magnitude and 9 other fieldsHigh correlation
strike_offset is highly correlated with fault_idx and 3 other fieldsHigh correlation
rake_offset is highly correlated with fault_idx and 3 other fieldsHigh correlation
fault_idx is highly correlated with latitude and 12 other fieldsHigh correlation
latitude_param is highly correlated with latitude and 2 other fieldsHigh correlation
longitude_param is highly correlated with longitude and 2 other fieldsHigh correlation
length is highly correlated with magnitude and 2 other fieldsHigh correlation
width is highly correlated with magnitude and 5 other fieldsHigh correlation
slip is highly correlated with magnitude and 5 other fieldsHigh correlation
strike is highly correlated with rake and 2 other fieldsHigh correlation
dip is highly correlated with rake and 2 other fieldsHigh correlation
depth is highly correlated with rake and 2 other fieldsHigh correlation
rake is highly correlated with latitude and 18 other fieldsHigh correlation
depth_offset_param is highly correlated with depth_offset and 5 other fieldsHigh correlation
rake_offset_param is highly correlated with rake_offset and 1 other fieldsHigh correlation
dip_offset_param is highly correlated with magnitude and 7 other fieldsHigh correlation
strike_offset_param is highly correlated with strike_offset and 1 other fieldsHigh correlation
Bulukumba height is highly correlated with depth_offset and 3 other fieldsHigh correlation
Bulukumba arrival is highly correlated with delta_logl and 10 other fieldsHigh correlation
Sumenep height is highly correlated with magnitudeHigh correlation
Sumenep arrival is highly correlated with latitude and 20 other fieldsHigh correlation
Nipa-Nipa height is highly correlated with delta_logl and 7 other fieldsHigh correlation
Bima height is highly correlated with depth_offset and 4 other fieldsHigh correlation
fault_idx is highly correlated with rakeHigh correlation
rake is highly correlated with fault_idxHigh correlation
latitude is highly correlated with longitude and 20 other fieldsHigh correlation
longitude is highly correlated with latitude and 23 other fieldsHigh correlation
magnitude is highly correlated with latitude and 21 other fieldsHigh correlation
delta_logl is highly correlated with latitude and 23 other fieldsHigh correlation
delta_logw is highly correlated with latitude and 15 other fieldsHigh correlation
depth_offset is highly correlated with latitude and 24 other fieldsHigh correlation
dip_offset is highly correlated with latitude and 24 other fieldsHigh correlation
strike_offset is highly correlated with longitude and 13 other fieldsHigh correlation
rake_offset is highly correlated with latitude and 19 other fieldsHigh correlation
fault_idx is highly correlated with latitude and 15 other fieldsHigh correlation
latitude_param is highly correlated with latitude and 20 other fieldsHigh correlation
longitude_param is highly correlated with latitude and 23 other fieldsHigh correlation
length is highly correlated with latitude and 24 other fieldsHigh correlation
width is highly correlated with latitude and 25 other fieldsHigh correlation
slip is highly correlated with latitude and 20 other fieldsHigh correlation
strike is highly correlated with latitude and 19 other fieldsHigh correlation
dip is highly correlated with latitude and 23 other fieldsHigh correlation
depth is highly correlated with latitude and 20 other fieldsHigh correlation
depth_offset_param is highly correlated with latitude and 24 other fieldsHigh correlation
rake_offset_param is highly correlated with latitude and 19 other fieldsHigh correlation
dip_offset_param is highly correlated with latitude and 24 other fieldsHigh correlation
strike_offset_param is highly correlated with longitude and 13 other fieldsHigh correlation
Bulukumba height is highly correlated with latitude and 23 other fieldsHigh correlation
Bulukumba arrival is highly correlated with magnitude and 4 other fieldsHigh correlation
Sumenep height is highly correlated with depth_offset and 7 other fieldsHigh correlation
Nipa-Nipa height is highly correlated with latitude and 17 other fieldsHigh correlation
Bima height is highly correlated with longitude and 17 other fieldsHigh correlation
depth_offset has 81 (2.0%) zeros Zeros
dip_offset has 81 (2.0%) zeros Zeros
strike_offset has 81 (2.0%) zeros Zeros
rake_offset has 81 (2.0%) zeros Zeros
depth_offset_param has 81 (2.0%) zeros Zeros
rake_offset_param has 81 (2.0%) zeros Zeros
dip_offset_param has 81 (2.0%) zeros Zeros
strike_offset_param has 81 (2.0%) zeros Zeros

Reproduction

Analysis started2021-10-01 22:39:58.482823
Analysis finished2021-10-01 22:42:17.282618
Duration2 minutes and 18.8 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

latitude
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct480
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.691213743
Minimum-8.645750104
Maximum-3.850392705
Zeros0
Zeros (%)0.0%
Negative4104
Negative (%)100.0%
Memory size32.2 KiB
2021-10-01T16:42:17.410653image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-8.645750104
5-th percentile-8.244006908
Q1-8.015760386
median-7.856268308
Q3-7.736077862
95-th percentile-5.32655045
Maximum-3.850392705
Range4.795357399
Interquartile range (IQR)0.2796825239

Descriptive statistics

Standard deviation0.7611163298
Coefficient of variation (CV)-0.0989591962
Kurtosis7.765455208
Mean-7.691213743
Median Absolute Deviation (MAD)0.1594920776
Skewness2.919620021
Sum-31564.7412
Variance0.5792980675
MonotonicityNot monotonic
2021-10-01T16:42:17.562511image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-8.015760386800
19.5%
-7.78194075551
 
13.4%
-7.595792742346
 
8.4%
-7.92660319156
 
3.8%
-7.647707917120
 
2.9%
-7.775720442113
 
2.8%
-7.73607786297
 
2.4%
-8.06980322286
 
2.1%
-7.8078517979
 
1.9%
-7.78187019378
 
1.9%
Other values (470)1678
40.9%
ValueCountFrequency (%)
-8.6457501044
0.1%
-8.6227357215
0.1%
-8.6209603123
 
0.1%
-8.600567962
 
< 0.1%
-8.5951153811
 
< 0.1%
-8.5835042351
 
< 0.1%
-8.5761960781
 
< 0.1%
-8.5744272041
 
< 0.1%
-8.5576456211
 
< 0.1%
-8.5565030249
0.2%
ValueCountFrequency (%)
-3.8503927051
 
< 0.1%
-4.023825266
0.1%
-4.0594401852
 
< 0.1%
-4.1184748161
 
< 0.1%
-4.1427701812
 
< 0.1%
-4.1743559184
0.1%
-4.3839
0.2%
-4.4126834784
0.1%
-4.420738126
0.1%
-4.4217998881
 
< 0.1%

longitude
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct480
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.2502926
Minimum114.5089466
Maximum121.7039161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:17.715030image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum114.5089466
5-th percentile114.5516301
Q1114.716137
median116.0926319
Q3119.2246603
95-th percentile120.8861018
Maximum121.7039161
Range7.194969511
Interquartile range (IQR)4.508523358

Descriptive statistics

Standard deviation2.34103648
Coefficient of variation (CV)0.01996614616
Kurtosis-1.33756534
Mean117.2502926
Median Absolute Deviation (MAD)1.541001829
Skewness0.3573875967
Sum481195.2008
Variance5.480451799
MonotonicityNot monotonic
2021-10-01T16:42:17.871867image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.0926319800
19.5%
114.5516301551
 
13.4%
114.716137346
 
8.4%
115.9960143156
 
3.8%
114.7216749120
 
2.9%
117.5433212113
 
2.8%
120.886101897
 
2.4%
119.605969686
 
2.1%
120.813357679
 
1.9%
114.624542278
 
1.9%
Other values (470)1678
40.9%
ValueCountFrequency (%)
114.50894663
 
0.1%
114.51268642
 
< 0.1%
114.52507381
 
< 0.1%
114.53892613
 
0.1%
114.5391062
 
< 0.1%
114.5516301551
13.4%
114.56847167
 
0.2%
114.57411
 
0.3%
114.57725421
 
< 0.1%
114.58556512
 
< 0.1%
ValueCountFrequency (%)
121.70391613
 
0.1%
121.70343422
 
< 0.1%
121.696286855
1.3%
121.66688766
 
0.1%
121.63080111
 
< 0.1%
121.5921145
 
0.1%
121.553513335
0.9%
121.37296941
 
< 0.1%
121.37009879
 
0.2%
121.32478533
 
0.1%

magnitude
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct472
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.510345991
Minimum7.493571603
Maximum9.433254511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:18.037526image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum7.493571603
5-th percentile8.099757223
Q18.206997011
median8.441747871
Q38.727248847
95-th percentile9.019707453
Maximum9.433254511
Range1.939682907
Interquartile range (IQR)0.5202518362

Descriptive statistics

Standard deviation0.3241867451
Coefficient of variation (CV)0.03809325091
Kurtosis-0.1663349908
Mean8.510345991
Median Absolute Deviation (MAD)0.2347508602
Skewness0.3083201147
Sum34926.45995
Variance0.1050970457
MonotonicityNot monotonic
2021-10-01T16:42:18.195993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.206997011800
19.5%
8.441747871551
 
13.4%
8.91948659346
 
8.4%
8.314589555156
 
3.8%
8.892014505120
 
2.9%
9.019707453113
 
2.8%
8.64059151597
 
2.4%
8.48371588486
 
2.1%
8.79822105779
 
1.9%
8.49790971178
 
1.9%
Other values (462)1678
40.9%
ValueCountFrequency (%)
7.4935716031
< 0.1%
7.5184720962
< 0.1%
7.5394808362
< 0.1%
7.5578180311
< 0.1%
7.5609442441
< 0.1%
7.5672523441
< 0.1%
7.6060047351
< 0.1%
7.6176988181
< 0.1%
7.6215483861
< 0.1%
7.6268995472
< 0.1%
ValueCountFrequency (%)
9.4332545115
 
0.1%
9.3940186213
 
0.1%
9.3916866211
 
< 0.1%
9.3904345351
 
< 0.1%
9.3879419521
 
< 0.1%
9.38778326116
0.4%
9.376459643
 
0.1%
9.3647519282
 
< 0.1%
9.3518202922
 
< 0.1%
9.3424042541
 
< 0.1%

delta_logl
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct470
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03517233402
Minimum-0.5192968179
Maximum0.143044021
Zeros36
Zeros (%)0.9%
Negative1669
Negative (%)40.7%
Memory size32.2 KiB
2021-10-01T16:42:18.354562image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-0.5192968179
5-th percentile-0.4423191359
Q1-0.01066588085
median0.01090974984
Q30.01893080483
95-th percentile0.05634065698
Maximum0.143044021
Range0.6623408389
Interquartile range (IQR)0.02959668569

Descriptive statistics

Standard deviation0.1334010474
Coefficient of variation (CV)-3.792783479
Kurtosis5.60097204
Mean-0.03517233402
Median Absolute Deviation (MAD)0.01300175687
Skewness-2.615937034
Sum-144.3472588
Variance0.01779583945
MonotonicityNot monotonic
2021-10-01T16:42:18.507807image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01893080483800
19.5%
0.01626153084551
 
13.4%
-0.01066588085346
 
8.4%
0.01871373044156
 
3.8%
-0.01339587976120
 
2.9%
-0.03223482337113
 
2.8%
-0.00888073457297
 
2.4%
-0.142023501486
 
2.1%
0.00707341384179
 
1.9%
0.0253172198378
 
1.9%
Other values (460)1678
40.9%
ValueCountFrequency (%)
-0.51929681793
 
0.1%
-0.51758974761
 
< 0.1%
-0.51244309052
 
< 0.1%
-0.51108669871
 
< 0.1%
-0.51102374142
 
< 0.1%
-0.5059064122
 
< 0.1%
-0.50332472953
 
0.1%
-0.50238573976
 
0.1%
-0.50136835429
0.7%
-0.545
1.1%
ValueCountFrequency (%)
0.1430440211
 
< 0.1%
0.14139443621
 
< 0.1%
0.14000738273
0.1%
0.13863424771
 
< 0.1%
0.13644731732
< 0.1%
0.13158929991
 
< 0.1%
0.12924431411
 
< 0.1%
0.1280828351
 
< 0.1%
0.12641537761
 
< 0.1%
0.1247124491
 
< 0.1%

delta_logw
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct470
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06758215717
Minimum-0.5418709556
Maximum0.06087105835
Zeros36
Zeros (%)0.9%
Negative3677
Negative (%)89.6%
Memory size32.2 KiB
2021-10-01T16:42:18.672562image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-0.5418709556
5-th percentile-0.4923328659
Q1-0.04664398492
median-0.02524937135
Q3-0.01296884156
95-th percentile0.009616159957
Maximum0.06087105835
Range0.6027420139
Interquartile range (IQR)0.03367514336

Descriptive statistics

Standard deviation0.1352756817
Coefficient of variation (CV)-2.001647882
Kurtosis5.802585953
Mean-0.06758215717
Median Absolute Deviation (MAD)0.01228052979
Skewness-2.725793748
Sum-277.357173
Variance0.01829951007
MonotonicityNot monotonic
2021-10-01T16:42:18.821134image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.01296884156800
19.5%
-0.03715318959551
 
13.4%
-0.02276414968346
 
8.4%
-0.01390151156
 
3.8%
-0.03689213259120
 
2.9%
0.007795087776113
 
2.8%
-0.0252493713597
 
2.4%
-0.0471918729986
 
2.1%
-0.0323455692379
 
1.9%
-0.0480655895478
 
1.9%
Other values (460)1678
40.9%
ValueCountFrequency (%)
-0.54187095564
 
0.1%
-0.53512315226
 
0.1%
-0.53336208861
 
< 0.1%
-0.52876251492
 
< 0.1%
-0.52612065032
 
< 0.1%
-0.52536612672
 
< 0.1%
-0.52339512762
 
< 0.1%
-0.52269718761
 
< 0.1%
-0.521733144129
0.7%
-0.52144893228
 
0.2%
ValueCountFrequency (%)
0.060871058351
 
< 0.1%
0.053660627975
0.1%
0.053106731021
 
< 0.1%
0.051904703416
0.1%
0.048390303393
 
0.1%
0.048133507059
0.2%
0.047649939942
 
< 0.1%
0.044496689911
 
< 0.1%
0.039582170896
0.1%
0.029711337073
 
0.1%

depth_offset
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct469
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.169661956
Minimum-15.9007862
Maximum20.07231299
Zeros81
Zeros (%)2.0%
Negative1102
Negative (%)26.9%
Memory size32.2 KiB
2021-10-01T16:42:18.977286image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-15.9007862
5-th percentile-7.444220488
Q1-0.4202219617
median6.966967795
Q310.10694517
95-th percentile13.89668023
Maximum20.07231299
Range35.97309919
Interquartile range (IQR)10.52716714

Descriptive statistics

Standard deviation7.502521834
Coefficient of variation (CV)1.451259656
Kurtosis-0.3154862736
Mean5.169661956
Median Absolute Deviation (MAD)6.929712435
Skewness-0.5062567429
Sum21216.29267
Variance56.28783387
MonotonicityNot monotonic
2021-10-01T16:42:19.134963image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.89668023800
19.5%
10.10694517551
 
13.4%
6.966967795346
 
8.4%
9.626890268156
 
3.8%
3.990032308120
 
2.9%
-5.375906202113
 
2.8%
8.7084333897
 
2.4%
1.50508745486
 
2.1%
081
 
2.0%
12.3468182979
 
1.9%
Other values (459)1675
40.8%
ValueCountFrequency (%)
-15.90078624
 
0.1%
-15.4458581167
1.6%
-15.132536361
 
< 0.1%
-14.927604651
 
< 0.1%
-14.891973752
 
< 0.1%
-14.71239711
 
< 0.1%
-14.638128312
 
< 0.1%
-14.623985091
 
< 0.1%
-14.07237351
 
< 0.1%
-13.605532761
 
< 0.1%
ValueCountFrequency (%)
20.072312993
 
0.1%
19.773083997
0.2%
19.678299811
0.3%
19.545313931
 
< 0.1%
19.284520782
 
< 0.1%
19.182123281
 
< 0.1%
19.174586022
 
< 0.1%
19.115284021
 
< 0.1%
18.92329581
 
< 0.1%
18.769380323
 
0.1%

dip_offset
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct469
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.132289543
Minimum-202.0014356
Maximum134.3923186
Zeros81
Zeros (%)2.0%
Negative1376
Negative (%)33.5%
Memory size32.2 KiB
2021-10-01T16:42:19.297142image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-202.0014356
5-th percentile-68.51802941
Q1-17.67482624
median19.03496576
Q347.13182069
95-th percentile83.77633911
Maximum134.3923186
Range336.3937543
Interquartile range (IQR)64.80664693

Descriptive statistics

Standard deviation52.79163631
Coefficient of variation (CV)7.401779749
Kurtosis1.553959025
Mean7.132289543
Median Absolute Deviation (MAD)28.09685493
Skewness-0.8190161451
Sum29270.91628
Variance2786.956864
MonotonicityNot monotonic
2021-10-01T16:42:19.451525image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.13182069800
19.5%
33.05026111551
 
13.4%
-68.51802941346
 
8.4%
35.92315188156
 
3.8%
-38.71640383120
 
2.9%
-63.36579798113
 
2.8%
-64.4238453397
 
2.4%
33.5999988486
 
2.1%
081
 
2.0%
-87.560766179
 
1.9%
Other values (459)1675
40.8%
ValueCountFrequency (%)
-202.00143562
 
< 0.1%
-200.77141375
0.1%
-199.98884453
0.1%
-199.72868261
 
< 0.1%
-195.93175456
0.1%
-194.7803011
 
< 0.1%
-194.06695931
 
< 0.1%
-193.86687221
 
< 0.1%
-193.68440187
0.2%
-190.96682641
 
< 0.1%
ValueCountFrequency (%)
134.392318633
0.8%
129.852263555
1.3%
99.1831612435
0.9%
99.081001913
 
0.1%
95.149065151
 
< 0.1%
93.158937863
 
0.1%
89.064444549
 
0.2%
86.887156591
 
< 0.1%
86.66570121
 
< 0.1%
83.7763391169
1.7%

strike_offset
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct469
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.831342341
Minimum-20.73581437
Maximum68.48469578
Zeros81
Zeros (%)2.0%
Negative1269
Negative (%)30.9%
Memory size32.2 KiB
2021-10-01T16:42:19.615953image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-20.73581437
5-th percentile-7.230781051
Q1-2.179726903
median0.318342764
Q34.414899987
95-th percentile21.51481389
Maximum68.48469578
Range89.22051015
Interquartile range (IQR)6.59462689

Descriptive statistics

Standard deviation11.04557198
Coefficient of variation (CV)3.901178541
Kurtosis11.13246992
Mean2.831342341
Median Absolute Deviation (MAD)2.692319661
Skewness2.806078285
Sum11619.82897
Variance122.0046604
MonotonicityNot monotonic
2021-10-01T16:42:19.762937image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.318342764800
19.5%
4.414899987551
 
13.4%
-2.294830226346
 
8.4%
4.783729536156
 
3.8%
-2.179726903120
 
2.9%
1.729528535113
 
2.8%
2.86337396597
 
2.4%
-20.7358143786
 
2.1%
081
 
2.0%
11.0114384679
 
1.9%
Other values (459)1675
40.8%
ValueCountFrequency (%)
-20.7358143786
2.1%
-15.447079091
 
< 0.1%
-14.134691212
 
< 0.1%
-13.92228173
 
0.1%
-13.894775437
 
0.2%
-13.725852592
 
< 0.1%
-13.115474511
 
< 0.1%
-12.891060942
 
< 0.1%
-12.804636471
 
< 0.1%
-12.631155721
 
< 0.1%
ValueCountFrequency (%)
68.484695781
 
< 0.1%
65.153190632
 
< 0.1%
63.162043791
 
< 0.1%
62.247482472
 
< 0.1%
61.358588091
 
< 0.1%
60.729229684
 
0.1%
59.223495641
 
< 0.1%
58.168035491
 
< 0.1%
56.372974541
 
< 0.1%
54.8345554767
1.6%

rake_offset
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct469
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.191691829
Minimum-61.61916909
Maximum26.48797319
Zeros81
Zeros (%)2.0%
Negative2563
Negative (%)62.5%
Memory size32.2 KiB
2021-10-01T16:42:19.914635image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-61.61916909
5-th percentile-40.35292605
Q1-17.1343741
median-6.722126282
Q33.937519326
95-th percentile16.8469514
Maximum26.48797319
Range88.10714229
Interquartile range (IQR)21.07189343

Descriptive statistics

Standard deviation18.52561468
Coefficient of variation (CV)-2.015473868
Kurtosis-0.8866353369
Mean-9.191691829
Median Absolute Deviation (MAD)10.65964561
Skewness-0.3569463844
Sum-37722.70327
Variance343.1983993
MonotonicityNot monotonic
2021-10-01T16:42:20.066385image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-17.1343741800
19.5%
-40.35292605551
 
13.4%
3.937519326346
 
8.4%
-8.584052246156
 
3.8%
11.37410469120
 
2.9%
-0.3020913996113
 
2.8%
10.9191027697
 
2.4%
11.4984230486
 
2.1%
081
 
2.0%
16.846951479
 
1.9%
Other values (459)1675
40.8%
ValueCountFrequency (%)
-61.619169091
< 0.1%
-59.880591431
< 0.1%
-56.461129661
< 0.1%
-54.36521772
< 0.1%
-53.71897541
< 0.1%
-53.430676911
< 0.1%
-51.301415331
< 0.1%
-49.912777661
< 0.1%
-49.688795781
< 0.1%
-48.412086631
< 0.1%
ValueCountFrequency (%)
26.487973196
 
0.1%
24.8260638410
 
0.2%
24.397629723
 
0.1%
23.46663546
 
0.1%
22.709137961
 
< 0.1%
22.3041164433
0.8%
20.853657692
 
< 0.1%
20.623092881
 
< 0.1%
20.3998272731
0.8%
20.297109441
 
< 0.1%

fault_idx
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
0.0
3782 
1.0
 
322

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.03782
92.2%
1.0322
 
7.8%

Length

2021-10-01T16:42:20.427930image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-10-01T16:42:20.500170image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
0.03782
92.2%
1.0322
 
7.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

slurm_id
Real number (ℝ≥0)

Distinct20
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43923595.89
Minimum43798087
Maximum43936962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:20.570923image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum43798087
5-th percentile43798087
Q143936162
median43936184
Q343936884
95-th percentile43936908
Maximum43936962
Range138875
Interquartile range (IQR)722

Descriptive statistics

Standard deviation40272.88859
Coefficient of variation (CV)0.0009168850539
Kurtosis5.825651114
Mean43923595.89
Median Absolute Deviation (MAD)700
Skewness-2.79677504
Sum1.802624375 × 1011
Variance1621905555
MonotonicityNot monotonic
2021-10-01T16:42:20.688790image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
439368841001
24.4%
43936162701
17.1%
43936170483
11.8%
43798087383
 
9.3%
43936158333
 
8.1%
43936184243
 
5.9%
43936902243
 
5.9%
43936908163
 
4.0%
43936892143
 
3.5%
43936962143
 
3.5%
Other values (10)268
 
6.5%
ValueCountFrequency (%)
43798087383
9.3%
439357963
 
0.1%
4393604423
 
0.6%
439361023
 
0.1%
4393613713
 
0.3%
4393614153
 
1.3%
439361523
 
0.1%
43936158333
8.1%
43936162701
17.1%
4393616333
 
0.8%
ValueCountFrequency (%)
43936962143
 
3.5%
43936908163
 
4.0%
43936902243
 
5.9%
43936892143
 
3.5%
439368841001
24.4%
43936658133
 
3.2%
43936184243
 
5.9%
439361833
 
0.1%
43936170483
11.8%
439361641
 
< 0.1%

latitude_param
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct480
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.691213743
Minimum-8.645750104
Maximum-3.850392705
Zeros0
Zeros (%)0.0%
Negative4104
Negative (%)100.0%
Memory size32.2 KiB
2021-10-01T16:42:20.832173image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-8.645750104
5-th percentile-8.244006908
Q1-8.015760386
median-7.856268308
Q3-7.736077862
95-th percentile-5.32655045
Maximum-3.850392705
Range4.795357399
Interquartile range (IQR)0.2796825239

Descriptive statistics

Standard deviation0.7611163298
Coefficient of variation (CV)-0.0989591962
Kurtosis7.765455208
Mean-7.691213743
Median Absolute Deviation (MAD)0.1594920776
Skewness2.919620021
Sum-31564.7412
Variance0.5792980675
MonotonicityNot monotonic
2021-10-01T16:42:20.983553image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-8.015760386800
19.5%
-7.78194075551
 
13.4%
-7.595792742346
 
8.4%
-7.92660319156
 
3.8%
-7.647707917120
 
2.9%
-7.775720442113
 
2.8%
-7.73607786297
 
2.4%
-8.06980322286
 
2.1%
-7.8078517979
 
1.9%
-7.78187019378
 
1.9%
Other values (470)1678
40.9%
ValueCountFrequency (%)
-8.6457501044
0.1%
-8.6227357215
0.1%
-8.6209603123
 
0.1%
-8.600567962
 
< 0.1%
-8.5951153811
 
< 0.1%
-8.5835042351
 
< 0.1%
-8.5761960781
 
< 0.1%
-8.5744272041
 
< 0.1%
-8.5576456211
 
< 0.1%
-8.5565030249
0.2%
ValueCountFrequency (%)
-3.8503927051
 
< 0.1%
-4.023825266
0.1%
-4.0594401852
 
< 0.1%
-4.1184748161
 
< 0.1%
-4.1427701812
 
< 0.1%
-4.1743559184
0.1%
-4.3839
0.2%
-4.4126834784
0.1%
-4.420738126
0.1%
-4.4217998881
 
< 0.1%

longitude_param
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct480
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.2502926
Minimum114.5089466
Maximum121.7039161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:21.134619image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum114.5089466
5-th percentile114.5516301
Q1114.716137
median116.0926319
Q3119.2246603
95-th percentile120.8861018
Maximum121.7039161
Range7.194969511
Interquartile range (IQR)4.508523358

Descriptive statistics

Standard deviation2.34103648
Coefficient of variation (CV)0.01996614616
Kurtosis-1.33756534
Mean117.2502926
Median Absolute Deviation (MAD)1.541001829
Skewness0.3573875967
Sum481195.2008
Variance5.480451799
MonotonicityNot monotonic
2021-10-01T16:42:21.293003image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.0926319800
19.5%
114.5516301551
 
13.4%
114.716137346
 
8.4%
115.9960143156
 
3.8%
114.7216749120
 
2.9%
117.5433212113
 
2.8%
120.886101897
 
2.4%
119.605969686
 
2.1%
120.813357679
 
1.9%
114.624542278
 
1.9%
Other values (470)1678
40.9%
ValueCountFrequency (%)
114.50894663
 
0.1%
114.51268642
 
< 0.1%
114.52507381
 
< 0.1%
114.53892613
 
0.1%
114.5391062
 
< 0.1%
114.5516301551
13.4%
114.56847167
 
0.2%
114.57411
 
0.3%
114.57725421
 
< 0.1%
114.58556512
 
< 0.1%
ValueCountFrequency (%)
121.70391613
 
0.1%
121.70343422
 
< 0.1%
121.696286855
1.3%
121.66688766
 
0.1%
121.63080111
 
< 0.1%
121.5921145
 
0.1%
121.553513335
0.9%
121.37296941
 
< 0.1%
121.37009879
 
0.2%
121.32478533
 
0.1%

length
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct473
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean367704.9854
Minimum68402.51717
Maximum1145031.542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:21.457098image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum68402.51717
5-th percentile117771.4623
Q1258158.9382
median340475.1893
Q3457647.7326
95-th percentile611069.551
Maximum1145031.542
Range1076629.025
Interquartile range (IQR)199488.7944

Descriptive statistics

Standard deviation175943.7849
Coefficient of variation (CV)0.4784917037
Kurtosis2.899336102
Mean367704.9854
Median Absolute Deviation (MAD)82316.25108
Skewness1.280145702
Sum1509061260
Variance3.095621545 × 1010
MonotonicityNot monotonic
2021-10-01T16:42:21.611093image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258158.9382800
19.5%
340475.1893551
 
13.4%
569120.7535346
 
8.4%
293753.8457156
 
3.8%
547136.4577120
 
2.9%
611069.551113
 
2.8%
408335.465797
 
2.4%
248751.846286
 
2.1%
512240.444879
 
1.9%
371994.073878
 
1.9%
Other values (463)1678
40.9%
ValueCountFrequency (%)
68402.517171
 
< 0.1%
71414.173861
 
< 0.1%
75832.124782
< 0.1%
76602.524931
 
< 0.1%
79663.681074
0.1%
80274.501511
 
< 0.1%
80994.393161
 
< 0.1%
81070.003292
< 0.1%
81817.55982
< 0.1%
82071.421711
 
< 0.1%
ValueCountFrequency (%)
1145031.5425
 
0.1%
1111558.49416
0.4%
1096135.8281
 
< 0.1%
1085167.3491
 
< 0.1%
1078723.2723
 
0.1%
1078324.6411
 
< 0.1%
1077360.4813
 
0.1%
1048039.88510
0.2%
1047854.972
 
< 0.1%
1042921.4985
 
0.1%

width
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct473
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130331.5456
Minimum32500.61672
Maximum232082.7756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:21.762735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum32500.61672
5-th percentile44889.61021
Q1112590.8818
median125187.8442
Q3159554.1728
95-th percentile195962.4265
Maximum232082.7756
Range199582.1588
Interquartile range (IQR)46963.29097

Descriptive statistics

Standard deviation40438.46584
Coefficient of variation (CV)0.3102738148
Kurtosis0.292114367
Mean130331.5456
Median Absolute Deviation (MAD)15641.93812
Skewness-0.2367825171
Sum534880663.1
Variance1635269520
MonotonicityNot monotonic
2021-10-01T16:42:21.915910image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112590.8818800
19.5%
125187.8442551
 
13.4%
179846.7076346
 
8.4%
120994.3007156
 
3.8%
170826.0814120
 
2.9%
206752.2769113
 
2.8%
147558.739497
 
2.4%
125916.124886
 
2.1%
161821.198379
 
1.9%
126898.000378
 
1.9%
Other values (463)1678
40.9%
ValueCountFrequency (%)
32500.616722
 
< 0.1%
32834.028464
0.1%
33163.558213
0.1%
33951.68511
 
< 0.1%
34717.517675
0.1%
34881.081651
 
< 0.1%
35538.641271
 
< 0.1%
35712.890481
 
< 0.1%
35718.131531
 
< 0.1%
35887.860552
 
< 0.1%
ValueCountFrequency (%)
232082.775616
0.4%
229792.881
 
< 0.1%
228024.53721
 
< 0.1%
227455.948310
0.2%
224658.00682
 
< 0.1%
222851.54995
 
0.1%
221906.31745
 
0.1%
220169.59472
 
< 0.1%
220082.730415
0.4%
219962.54963
 
0.1%

slip
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct474
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.096372674
Minimum0.5736916245
Maximum59.91191944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:22.077067image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.5736916245
5-th percentile1.920146
Q11.97262775
median3.317521723
Q36.562404232
95-th percentile19.82582383
Maximum59.91191944
Range59.33822781
Interquartile range (IQR)4.589776481

Descriptive statistics

Standard deviation8.107941703
Coefficient of variation (CV)1.329961624
Kurtosis17.22460373
Mean6.096372674
Median Absolute Deviation (MAD)1.344893972
Skewness3.874386489
Sum25019.51345
Variance65.73871866
MonotonicityNot monotonic
2021-10-01T16:42:22.226155image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.97262775800
19.5%
3.026315378551
 
13.4%
6.562404232346
 
8.4%
2.339245846156
 
3.8%
6.535998334120
 
2.9%
7.51554092113
 
2.8%
4.25446782297
 
2.4%
4.76064910986
 
2.1%
5.33043087379
 
1.9%
3.31752172378
 
1.9%
Other values (464)1678
40.9%
ValueCountFrequency (%)
0.57369162451
 
< 0.1%
0.61036992451
 
< 0.1%
0.6387364482
< 0.1%
0.64269329861
 
< 0.1%
0.64845172581
 
< 0.1%
0.64994287221
 
< 0.1%
0.65219569031
 
< 0.1%
0.65297726651
 
< 0.1%
0.66109172464
0.1%
0.66408710062
< 0.1%
ValueCountFrequency (%)
59.911919443
 
0.1%
58.9431214917
0.4%
54.392848332
 
< 0.1%
53.716555181
 
< 0.1%
53.061855191
 
< 0.1%
52.401697333
 
0.1%
50.394726362
 
< 0.1%
48.148526042
 
< 0.1%
47.863875161
 
< 0.1%
46.6460459429
0.7%

strike
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct480
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.65152258
Minimum71.81014199
Maximum189.4580714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:22.375949image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum71.81014199
5-th percentile79.23133054
Q188.4010992
median88.47016173
Q388.78133468
95-th percentile158.9054309
Maximum189.4580714
Range117.6479294
Interquartile range (IQR)0.3802354835

Descriptive statistics

Standard deviation20.71121794
Coefficient of variation (CV)0.2188154757
Kurtosis6.189275205
Mean94.65152258
Median Absolute Deviation (MAD)0.3111729552
Skewness2.677606679
Sum388449.8487
Variance428.9545485
MonotonicityNot monotonic
2021-10-01T16:42:22.528525image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.69736897800
19.5%
88.4010992551
 
13.4%
88.42974883346
 
8.4%
88.78133468156
 
3.8%
88.47016173120
 
2.9%
104.6357437113
 
2.8%
86.2262407597
 
2.4%
79.2313305486
 
2.1%
86.6962978279
 
1.9%
88.468327378
 
1.9%
Other values (470)1678
40.9%
ValueCountFrequency (%)
71.8101419955
1.3%
73.620380766
 
0.1%
74.4874246935
0.9%
76.2989113
 
0.1%
77.748711492
 
< 0.1%
78.969224873
 
0.1%
79.058336241
 
< 0.1%
79.05874922
 
< 0.1%
79.065514832
 
< 0.1%
79.093591461
 
< 0.1%
ValueCountFrequency (%)
189.45807144
0.1%
176.47410011
 
< 0.1%
176.37447293
 
0.1%
176.1629996
0.1%
176.00582012
 
< 0.1%
175.66511261
 
< 0.1%
175.48642882
 
< 0.1%
175.12767474
0.1%
173.11162299
0.2%
172.80641256
0.1%

dip
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct360
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.34444867
Minimum23.9523714
Maximum40.63336572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:22.680414image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum23.9523714
5-th percentile25
Q127.86086123
median29.02737066
Q336.48231383
95-th percentile40.24526151
Maximum40.63336572
Range16.68099432
Interquartile range (IQR)8.6214526

Descriptive statistics

Standard deviation4.848436996
Coefficient of variation (CV)0.1546824781
Kurtosis-1.348592384
Mean31.34444867
Median Absolute Deviation (MAD)3.771495629
Skewness0.3481689495
Sum128637.6174
Variance23.50734131
MonotonicityNot monotonic
2021-10-01T16:42:22.829676image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.86086123800
19.5%
36.5815801551
 
13.4%
36.48231383346
 
8.4%
25322
 
7.8%
29.02737066156
 
3.8%
36.43413492120
 
2.9%
40.24526151113
 
2.8%
30.8558521397
 
2.4%
26.7218028486
 
2.1%
30.0582992179
 
1.9%
Other values (350)1434
34.9%
ValueCountFrequency (%)
23.95237141
 
< 0.1%
23.960286421
 
< 0.1%
23.960993121
 
< 0.1%
23.972107362
< 0.1%
23.976628121
 
< 0.1%
23.976860261
 
< 0.1%
23.988668771
 
< 0.1%
24.01558493
0.1%
24.020784561
 
< 0.1%
24.053354561
 
< 0.1%
ValueCountFrequency (%)
40.6333657233
 
0.8%
40.309816685
 
0.1%
40.2475083569
1.7%
40.24526151113
2.8%
40.180213989
 
0.2%
40.042447215
 
0.1%
39.948413327
 
0.2%
39.925149915
 
0.1%
39.870615341
 
< 0.1%
39.790606691
 
< 0.1%

depth
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct480
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20499.74808
Minimum14539.92662
Maximum42322.88314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:22.983253image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum14539.92662
5-th percentile17019.75087
Q119652.43301
median20619.9275
Q320692.73714
95-th percentile25698.15854
Maximum42322.88314
Range27782.95652
Interquartile range (IQR)1040.304133

Descriptive statistics

Standard deviation2328.821891
Coefficient of variation (CV)0.1136024638
Kurtosis19.85649504
Mean20499.74808
Median Absolute Deviation (MAD)944.1987302
Skewness2.871077792
Sum84130966.14
Variance5423411.398
MonotonicityNot monotonic
2021-10-01T16:42:23.129511image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19652.43301800
19.5%
20692.73714551
 
13.4%
20677.07106346
 
8.4%
19675.72877156
 
3.8%
20629.89085120
 
2.9%
21795.78745113
 
2.8%
17726.6396297
 
2.4%
19109.9501486
 
2.1%
17019.7508779
 
1.9%
20619.927578
 
1.9%
Other values (470)1678
40.9%
ValueCountFrequency (%)
14539.926626
0.1%
14827.022751
 
< 0.1%
14830.626663
 
0.1%
14860.382997
0.2%
14872.753962
 
< 0.1%
14873.469071
 
< 0.1%
14887.334971
 
< 0.1%
14902.39771
 
< 0.1%
14935.7381
 
< 0.1%
14937.5567611
0.3%
ValueCountFrequency (%)
42322.883148
0.2%
37523.64611
 
< 0.1%
36903.299722
 
< 0.1%
34070.310432
 
< 0.1%
33796.15391
 
< 0.1%
31359.019951
 
< 0.1%
30842.280636
0.1%
29891.409774
0.1%
29761.140524
0.1%
29739.431961
 
< 0.1%

rake
Categorical

CONSTANT
HIGH CORRELATION
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.2 KiB
90.0
4104 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row90.0
2nd row90.0
3rd row90.0
4th row90.0
5th row90.0

Common Values

ValueCountFrequency (%)
90.04104
100.0%

Length

2021-10-01T16:42:23.267762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-10-01T16:42:23.338807image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
90.04104
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

depth_offset_param
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct469
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.169661956
Minimum-15.9007862
Maximum20.07231299
Zeros81
Zeros (%)2.0%
Negative1102
Negative (%)26.9%
Memory size32.2 KiB
2021-10-01T16:42:23.429097image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-15.9007862
5-th percentile-7.444220488
Q1-0.4202219617
median6.966967795
Q310.10694517
95-th percentile13.89668023
Maximum20.07231299
Range35.97309919
Interquartile range (IQR)10.52716714

Descriptive statistics

Standard deviation7.502521834
Coefficient of variation (CV)1.451259656
Kurtosis-0.3154862736
Mean5.169661956
Median Absolute Deviation (MAD)6.929712435
Skewness-0.5062567429
Sum21216.29267
Variance56.28783387
MonotonicityNot monotonic
2021-10-01T16:42:23.800021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.89668023800
19.5%
10.10694517551
 
13.4%
6.966967795346
 
8.4%
9.626890268156
 
3.8%
3.990032308120
 
2.9%
-5.375906202113
 
2.8%
8.7084333897
 
2.4%
1.50508745486
 
2.1%
081
 
2.0%
12.3468182979
 
1.9%
Other values (459)1675
40.8%
ValueCountFrequency (%)
-15.90078624
 
0.1%
-15.4458581167
1.6%
-15.132536361
 
< 0.1%
-14.927604651
 
< 0.1%
-14.891973752
 
< 0.1%
-14.71239711
 
< 0.1%
-14.638128312
 
< 0.1%
-14.623985091
 
< 0.1%
-14.07237351
 
< 0.1%
-13.605532761
 
< 0.1%
ValueCountFrequency (%)
20.072312993
 
0.1%
19.773083997
0.2%
19.678299811
0.3%
19.545313931
 
< 0.1%
19.284520782
 
< 0.1%
19.182123281
 
< 0.1%
19.174586022
 
< 0.1%
19.115284021
 
< 0.1%
18.92329581
 
< 0.1%
18.769380323
 
0.1%

rake_offset_param
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct469
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.191691829
Minimum-61.61916909
Maximum26.48797319
Zeros81
Zeros (%)2.0%
Negative2563
Negative (%)62.5%
Memory size32.2 KiB
2021-10-01T16:42:23.961356image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-61.61916909
5-th percentile-40.35292605
Q1-17.1343741
median-6.722126282
Q33.937519326
95-th percentile16.8469514
Maximum26.48797319
Range88.10714229
Interquartile range (IQR)21.07189343

Descriptive statistics

Standard deviation18.52561468
Coefficient of variation (CV)-2.015473868
Kurtosis-0.8866353369
Mean-9.191691829
Median Absolute Deviation (MAD)10.65964561
Skewness-0.3569463844
Sum-37722.70327
Variance343.1983993
MonotonicityNot monotonic
2021-10-01T16:42:24.114123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-17.1343741800
19.5%
-40.35292605551
 
13.4%
3.937519326346
 
8.4%
-8.584052246156
 
3.8%
11.37410469120
 
2.9%
-0.3020913996113
 
2.8%
10.9191027697
 
2.4%
11.4984230486
 
2.1%
081
 
2.0%
16.846951479
 
1.9%
Other values (459)1675
40.8%
ValueCountFrequency (%)
-61.619169091
< 0.1%
-59.880591431
< 0.1%
-56.461129661
< 0.1%
-54.36521772
< 0.1%
-53.71897541
< 0.1%
-53.430676911
< 0.1%
-51.301415331
< 0.1%
-49.912777661
< 0.1%
-49.688795781
< 0.1%
-48.412086631
< 0.1%
ValueCountFrequency (%)
26.487973196
 
0.1%
24.8260638410
 
0.2%
24.397629723
 
0.1%
23.46663546
 
0.1%
22.709137961
 
< 0.1%
22.3041164433
0.8%
20.853657692
 
< 0.1%
20.623092881
 
< 0.1%
20.3998272731
0.8%
20.297109441
 
< 0.1%

dip_offset_param
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct469
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.132289543
Minimum-202.0014356
Maximum134.3923186
Zeros81
Zeros (%)2.0%
Negative1376
Negative (%)33.5%
Memory size32.2 KiB
2021-10-01T16:42:24.267938image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-202.0014356
5-th percentile-68.51802941
Q1-17.67482624
median19.03496576
Q347.13182069
95-th percentile83.77633911
Maximum134.3923186
Range336.3937543
Interquartile range (IQR)64.80664693

Descriptive statistics

Standard deviation52.79163631
Coefficient of variation (CV)7.401779749
Kurtosis1.553959025
Mean7.132289543
Median Absolute Deviation (MAD)28.09685493
Skewness-0.8190161451
Sum29270.91628
Variance2786.956864
MonotonicityNot monotonic
2021-10-01T16:42:24.422459image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.13182069800
19.5%
33.05026111551
 
13.4%
-68.51802941346
 
8.4%
35.92315188156
 
3.8%
-38.71640383120
 
2.9%
-63.36579798113
 
2.8%
-64.4238453397
 
2.4%
33.5999988486
 
2.1%
081
 
2.0%
-87.560766179
 
1.9%
Other values (459)1675
40.8%
ValueCountFrequency (%)
-202.00143562
 
< 0.1%
-200.77141375
0.1%
-199.98884453
0.1%
-199.72868261
 
< 0.1%
-195.93175456
0.1%
-194.7803011
 
< 0.1%
-194.06695931
 
< 0.1%
-193.86687221
 
< 0.1%
-193.68440187
0.2%
-190.96682641
 
< 0.1%
ValueCountFrequency (%)
134.392318633
0.8%
129.852263555
1.3%
99.1831612435
0.9%
99.081001913
 
0.1%
95.149065151
 
< 0.1%
93.158937863
 
0.1%
89.064444549
 
0.2%
86.887156591
 
< 0.1%
86.66570121
 
< 0.1%
83.7763391169
1.7%

strike_offset_param
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct469
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.831342341
Minimum-20.73581437
Maximum68.48469578
Zeros81
Zeros (%)2.0%
Negative1269
Negative (%)30.9%
Memory size32.2 KiB
2021-10-01T16:42:24.586656image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-20.73581437
5-th percentile-7.230781051
Q1-2.179726903
median0.318342764
Q34.414899987
95-th percentile21.51481389
Maximum68.48469578
Range89.22051015
Interquartile range (IQR)6.59462689

Descriptive statistics

Standard deviation11.04557198
Coefficient of variation (CV)3.901178541
Kurtosis11.13246992
Mean2.831342341
Median Absolute Deviation (MAD)2.692319661
Skewness2.806078285
Sum11619.82897
Variance122.0046604
MonotonicityNot monotonic
2021-10-01T16:42:24.733273image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.318342764800
19.5%
4.414899987551
 
13.4%
-2.294830226346
 
8.4%
4.783729536156
 
3.8%
-2.179726903120
 
2.9%
1.729528535113
 
2.8%
2.86337396597
 
2.4%
-20.7358143786
 
2.1%
081
 
2.0%
11.0114384679
 
1.9%
Other values (459)1675
40.8%
ValueCountFrequency (%)
-20.7358143786
2.1%
-15.447079091
 
< 0.1%
-14.134691212
 
< 0.1%
-13.92228173
 
0.1%
-13.894775437
 
0.2%
-13.725852592
 
< 0.1%
-13.115474511
 
< 0.1%
-12.891060942
 
< 0.1%
-12.804636471
 
< 0.1%
-12.631155721
 
< 0.1%
ValueCountFrequency (%)
68.484695781
 
< 0.1%
65.153190632
 
< 0.1%
63.162043791
 
< 0.1%
62.247482472
 
< 0.1%
61.358588091
 
< 0.1%
60.729229684
 
0.1%
59.223495641
 
< 0.1%
58.168035491
 
< 0.1%
56.372974541
 
< 0.1%
54.8345554767
1.6%

slurm_id_param
Real number (ℝ≥0)

Distinct20
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43923595.89
Minimum43798087
Maximum43936962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:24.858571image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum43798087
5-th percentile43798087
Q143936162
median43936184
Q343936884
95-th percentile43936908
Maximum43936962
Range138875
Interquartile range (IQR)722

Descriptive statistics

Standard deviation40272.88859
Coefficient of variation (CV)0.0009168850539
Kurtosis5.825651114
Mean43923595.89
Median Absolute Deviation (MAD)700
Skewness-2.79677504
Sum1.802624375 × 1011
Variance1621905555
MonotonicityNot monotonic
2021-10-01T16:42:24.976465image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
439368841001
24.4%
43936162701
17.1%
43936170483
11.8%
43798087383
 
9.3%
43936158333
 
8.1%
43936184243
 
5.9%
43936902243
 
5.9%
43936908163
 
4.0%
43936892143
 
3.5%
43936962143
 
3.5%
Other values (10)268
 
6.5%
ValueCountFrequency (%)
43798087383
9.3%
439357963
 
0.1%
4393604423
 
0.6%
439361023
 
0.1%
4393613713
 
0.3%
4393614153
 
1.3%
439361523
 
0.1%
43936158333
8.1%
43936162701
17.1%
4393616333
 
0.8%
ValueCountFrequency (%)
43936962143
 
3.5%
43936908163
 
4.0%
43936902243
 
5.9%
43936892143
 
3.5%
439368841001
24.4%
43936658133
 
3.2%
43936184243
 
5.9%
439361833
 
0.1%
43936170483
11.8%
439361641
 
< 0.1%

Bulukumba height
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct488
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.671116916
Minimum0.042591229
Maximum18.4635813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:25.123981image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.042591229
5-th percentile0.1712082203
Q10.326751814
median0.688597846
Q32.80231216
95-th percentile5.68517529
Maximum18.4635813
Range18.42099007
Interquartile range (IQR)2.475560346

Descriptive statistics

Standard deviation2.080193176
Coefficient of variation (CV)1.244792124
Kurtosis6.183209971
Mean1.671116916
Median Absolute Deviation (MAD)0.507077566
Skewness2.095191981
Sum6858.263823
Variance4.327203649
MonotonicityNot monotonic
2021-10-01T16:42:25.281206image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.326751814800
19.5%
0.1712082203551
 
13.4%
0.688597846346
 
8.4%
0.5025009793156
 
3.8%
0.9527716523120
 
2.9%
2.36782945113
 
2.8%
3.20716075597
 
2.4%
2.8023121686
 
2.1%
3.2410989379
 
1.9%
0.295020257378
 
1.9%
Other values (478)1678
40.9%
ValueCountFrequency (%)
0.0425912294
0.1%
0.0454452563
0.1%
0.059662160671
 
< 0.1%
0.075381789332
< 0.1%
0.080089161
 
< 0.1%
0.095648177332
< 0.1%
0.095870546332
< 0.1%
0.0961687951
 
< 0.1%
0.10379100131
 
< 0.1%
0.11148597431
 
< 0.1%
ValueCountFrequency (%)
18.46358133
 
0.1%
14.965369631
 
< 0.1%
13.254367672
 
< 0.1%
11.833101332
 
< 0.1%
10.863389174
 
0.1%
10.529993273
 
0.1%
10.527530271
 
< 0.1%
10.22869122
 
< 0.1%
10.2007463310
0.2%
10.0128921
 
< 0.1%

Bulukumba arrival
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct276
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.11895134 × 1097
Minimum-1.66665 × 1097
Maximum75.31938333
Zeros0
Zeros (%)0.0%
Negative2772
Negative (%)67.5%
Memory size32.2 KiB
2021-10-01T16:42:25.444650image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1.66665 × 1097
5-th percentile-1.66665 × 1097
Q1-1.66665 × 1097
median-1.66665 × 1097
Q342.88916
95-th percentile57.36946778
Maximum75.31938333
Range1.66665 × 1097
Interquartile range (IQR)1.66665 × 1097

Descriptive statistics

Standard deviation7.796681476 × 1096
Coefficient of variation (CV)-0.6967846765
Kurtosisnan
Mean-1.11895134 × 1097
Median Absolute Deviation (MAD)0
Skewness0.73013648
Sum-4.5921763 × 10100
Variance6.078824204 × 10193
MonotonicityNot monotonic
2021-10-01T16:42:25.595191image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.66665 × 10972738
66.7%
43.35164056113
 
2.8%
68.1880094497
 
2.4%
52.8961272286
 
2.1%
65.64197579
 
1.9%
50.0036433367
 
1.6%
47.3329316762
 
1.5%
48.7820194443
 
1.0%
57.3694677831
 
0.8%
44.8480130
 
0.7%
Other values (266)758
 
18.5%
ValueCountFrequency (%)
-1.66665 × 10972738
66.7%
-1.1111 × 109718
 
0.4%
-5.5555 × 109616
 
0.4%
0.17444966677
 
0.2%
2.9929136671
 
< 0.1%
9.8094223891
 
< 0.1%
11.104761111
 
< 0.1%
11.263117612
 
< 0.1%
11.6802347810
 
0.2%
12.028035781
 
< 0.1%
ValueCountFrequency (%)
75.319383339
 
0.2%
68.1880094497
2.4%
65.64197579
1.9%
62.040571113
 
0.1%
57.3694677831
 
0.8%
55.945308891
 
< 0.1%
54.282931112
 
< 0.1%
53.852397782
 
< 0.1%
53.766748891
 
< 0.1%
53.435832781
 
< 0.1%

Sumenep height
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct488
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-301.2991976
Minimum-9997.330189
Maximum3.21049387
Zeros0
Zeros (%)0.0%
Negative124
Negative (%)3.0%
Memory size32.2 KiB
2021-10-01T16:42:25.755395image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-9997.330189
5-th percentile0.07451547133
Q10.3270198273
median0.4508975067
Q30.981695032
95-th percentile2.141131511
Maximum3.21049387
Range10000.54068
Interquartile range (IQR)0.6546752047

Descriptive statistics

Standard deviation1711.618438
Coefficient of variation (CV)-5.680793218
Kurtosis28.16368239
Mean-301.2991976
Median Absolute Deviation (MAD)0.14636392
Skewness-5.490897206
Sum-1236531.907
Variance2929637.678
MonotonicityNot monotonic
2021-10-01T16:42:25.914987image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3270198273800
19.5%
0.4317665567551
 
13.4%
1.699056346
 
8.4%
0.508497203156
 
3.8%
-9997.125386120
 
2.9%
3.21049387113
 
2.8%
0.5403525897
 
2.4%
0.543998818786
 
2.1%
0.516198900379
 
1.9%
0.597261426778
 
1.9%
Other values (478)1678
40.9%
ValueCountFrequency (%)
-9997.3301892
 
< 0.1%
-9997.125386120
2.9%
-9996.7483642
 
< 0.1%
0.014175487331
 
< 0.1%
0.0149708152
 
< 0.1%
0.015291583331
 
< 0.1%
0.015651699672
 
< 0.1%
0.0165330614
 
0.1%
0.029529417676
 
0.1%
0.029917593676
 
0.1%
ValueCountFrequency (%)
3.21049387113
2.8%
2.829801581
 
< 0.1%
2.606064733
 
0.1%
2.596032133
 
0.1%
2.556638281
 
< 0.1%
2.549429294
 
0.1%
2.481985271
 
< 0.1%
2.4639194215
 
0.4%
2.458572181
 
< 0.1%
2.397443091
 
< 0.1%

Sumenep arrival
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct95
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.352325658 × 1097
Minimum-1.66665 × 1097
Maximum299.3123
Zeros0
Zeros (%)0.0%
Negative3330
Negative (%)81.1%
Memory size32.2 KiB
2021-10-01T16:42:26.073303image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1.66665 × 1097
5-th percentile-1.66665 × 1097
Q1-1.66665 × 1097
median-1.66665 × 1097
Q3-1.66665 × 1097
95-th percentile159.1973811
Maximum299.3123
Range1.66665 × 1097
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.520525073 × 1096
Coefficient of variation (CV)-0.4821712163
Kurtosisnan
Mean-1.352325658 × 1097
Median Absolute Deviation (MAD)0
Skewness1.592674515
Sum-5.5499445 × 10100
Variance4.251724723 × 10193
MonotonicityNot monotonic
2021-10-01T16:42:26.228151image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.66665 × 10973330
81.1%
159.1973811346
 
8.4%
149.0346733113
 
2.8%
169.196333329
 
0.7%
147.172618317
 
0.4%
258.0141516
 
0.4%
241.160615
 
0.4%
243.398433314
 
0.3%
148.088371713
 
0.3%
233.471133310
 
0.2%
Other values (85)201
 
4.9%
ValueCountFrequency (%)
-1.66665 × 10973330
81.1%
99.245565561
 
< 0.1%
101.81828171
 
< 0.1%
102.42163613
 
0.1%
102.58569391
 
< 0.1%
107.23558565
 
0.1%
107.46491334
 
0.1%
107.83579723
 
0.1%
108.77516332
 
< 0.1%
109.84764172
 
< 0.1%
ValueCountFrequency (%)
299.31233
 
0.1%
276.27729442
 
< 0.1%
275.689151
 
< 0.1%
274.71911671
 
< 0.1%
273.77988891
 
< 0.1%
258.0141516
0.4%
253.25893333
 
0.1%
252.93606672
 
< 0.1%
248.95658335
 
0.1%
245.82625561
 
< 0.1%

Nipa-Nipa height
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct488
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.179754773
Minimum0.0225016
Maximum16.03151937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:26.387275image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.0225016
5-th percentile0.1345243333
Q10.2042258333
median0.6193179667
Q31.5894395
95-th percentile4.25136638
Maximum16.03151937
Range16.00901777
Interquartile range (IQR)1.385213667

Descriptive statistics

Standard deviation1.663302948
Coefficient of variation (CV)1.409871768
Kurtosis16.10022481
Mean1.179754773
Median Absolute Deviation (MAD)0.4847936333
Skewness3.401342249
Sum4841.71359
Variance2.766576696
MonotonicityNot monotonic
2021-10-01T16:42:26.542950image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1345243333800
19.5%
0.2042258333551
 
13.4%
0.9179366346
 
8.4%
0.2775563333156
 
3.8%
0.7842391667120
 
2.9%
1.5894395113
 
2.8%
1.66626613397
 
2.4%
1.55870193386
 
2.1%
1.96647903379
 
1.9%
0.328089278
 
1.9%
Other values (478)1678
40.9%
ValueCountFrequency (%)
0.02250163
0.1%
0.023215633334
0.1%
0.03248371
 
< 0.1%
0.03392322
< 0.1%
0.04191812
< 0.1%
0.044703033331
 
< 0.1%
0.045840266672
< 0.1%
0.069181666671
 
< 0.1%
0.06947461
 
< 0.1%
0.07356511
 
< 0.1%
ValueCountFrequency (%)
16.031519371
 
< 0.1%
14.70105483
 
0.1%
13.160535771
 
< 0.1%
12.495351531
 
< 0.1%
12.377882672
 
< 0.1%
12.373344731
 
< 0.1%
12.347939032
 
< 0.1%
11.968413
 
0.1%
11.68493073
 
0.1%
11.181753510
0.2%

Bima height
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct488
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2687.441088
Minimum-3332.154855
Maximum7.81638323
Zeros0
Zeros (%)0.0%
Negative3311
Negative (%)80.7%
Memory size32.2 KiB
2021-10-01T16:42:26.704441image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-3332.154855
5-th percentile-3332.130994
Q1-3332.099059
median-3332.004482
Q3-3331.000677
95-th percentile3.475098787
Maximum7.81638323
Range3339.971238
Interquartile range (IQR)1.098382333

Descriptive statistics

Standard deviation1317.013941
Coefficient of variation (CV)-0.4900624417
Kurtosis0.4167600834
Mean-2687.441088
Median Absolute Deviation (MAD)0.1265122667
Skewness1.554527486
Sum-11029258.22
Variance1734525.722
MonotonicityNot monotonic
2021-10-01T16:42:26.863914image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3332.130994800
19.5%
-3332.099059551
 
13.4%
-3332.001527346
 
8.4%
-3332.084302156
 
3.8%
-3332.031097120
 
2.9%
3.475098787113
 
2.8%
-3331.00067797
 
2.4%
3.27935110386
 
2.1%
2.9245363779
 
1.9%
-3332.04193578
 
1.9%
Other values (478)1678
40.9%
ValueCountFrequency (%)
-3332.1548552
 
< 0.1%
-3332.1545021
 
< 0.1%
-3332.1519672
 
< 0.1%
-3332.1515634
0.1%
-3332.1509631
 
< 0.1%
-3332.1494836
0.1%
-3332.1485836
0.1%
-3332.1461721
 
< 0.1%
-3332.1460896
0.1%
-3332.1437034
0.1%
ValueCountFrequency (%)
7.8163832331
0.8%
6.30690435
 
0.1%
5.92107261
 
< 0.1%
5.67668351
 
< 0.1%
5.5486233131
 
< 0.1%
5.45153123
 
0.1%
5.30706311
 
< 0.1%
5.22382831
 
< 0.1%
5.12536821
 
< 0.1%
5.0370663
 
0.1%

slurm_id_output
Real number (ℝ≥0)

Distinct20
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43923595.89
Minimum43798087
Maximum43936962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.2 KiB
2021-10-01T16:42:27.229211image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum43798087
5-th percentile43798087
Q143936162
median43936184
Q343936884
95-th percentile43936908
Maximum43936962
Range138875
Interquartile range (IQR)722

Descriptive statistics

Standard deviation40272.88859
Coefficient of variation (CV)0.0009168850539
Kurtosis5.825651114
Mean43923595.89
Median Absolute Deviation (MAD)700
Skewness-2.79677504
Sum1.802624375 × 1011
Variance1621905555
MonotonicityNot monotonic
2021-10-01T16:42:27.349262image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
439368841001
24.4%
43936162701
17.1%
43936170483
11.8%
43798087383
 
9.3%
43936158333
 
8.1%
43936184243
 
5.9%
43936902243
 
5.9%
43936908163
 
4.0%
43936892143
 
3.5%
43936962143
 
3.5%
Other values (10)268
 
6.5%
ValueCountFrequency (%)
43798087383
9.3%
439357963
 
0.1%
4393604423
 
0.6%
439361023
 
0.1%
4393613713
 
0.3%
4393614153
 
1.3%
439361523
 
0.1%
43936158333
8.1%
43936162701
17.1%
4393616333
 
0.8%
ValueCountFrequency (%)
43936962143
 
3.5%
43936908163
 
4.0%
43936902243
 
5.9%
43936892143
 
3.5%
439368841001
24.4%
43936658133
 
3.2%
43936184243
 
5.9%
439361833
 
0.1%
43936170483
11.8%
439361641
 
< 0.1%

Interactions

2021-10-01T16:42:11.358771image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:08.917522image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:12.842962image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:17.168858image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:21.593637image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:25.805969image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:29.980486image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:34.250707image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:38.512943image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:42.556615image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:46.648399image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:50.895716image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:54.798596image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:59.169326image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:03.277755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:07.714016image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:11.876842image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:16.011735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:20.237729image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:24.367248image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:29.039646image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:33.103776image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:37.425184image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:41.495307image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:45.722923image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:50.139396image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:54.453391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:58.670854image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:42:03.018656image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:42:07.353833image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:42:11.488045image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:09.053960image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:12.971535image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:17.302134image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:21.718497image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:25.931801image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:30.110605image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:34.376007image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:38.635021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:42.679974image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:46.775459image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2021-10-01T16:42:10.961324image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:42:15.386274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:12.595517image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:16.906756image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:21.323049image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:25.551576image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:29.729580image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:33.990823image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:38.256249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:42.316237image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:46.162119image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:50.412237image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:54.557553image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:58.905510image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:03.022095image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:07.443894image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:11.621845image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:15.737082image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:19.984047image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:23.885001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:28.781327image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:32.856378image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:37.167293image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:41.244408image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:45.470008image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:49.876491image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:54.193803image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:58.415008image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:42:02.757293image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:42:06.853247image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:42:11.102587image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:42:15.519201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:12.726142image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:17.045677image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:21.464799image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:25.687762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:29.862465image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:34.129164image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:38.393562image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:42.443502image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:46.296162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:50.777452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:54.685270image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:40:59.047694image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:03.163066image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:07.587847image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:11.759060image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:15.898213image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:20.117968image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:24.252500image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:28.918934image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:32.989133image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:37.304407image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:41.377296image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:45.606993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:50.015485image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:54.332331image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:41:58.552414image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:42:02.896767image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:42:07.234107image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-10-01T16:42:11.237185image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Correlations

2021-10-01T16:42:27.528567image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-10-01T16:42:27.882737image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-10-01T16:42:28.234979image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-10-01T16:42:28.520799image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2021-10-01T16:42:28.694888image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2021-10-01T16:42:16.060483image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
A simple visualization of nullity by column.
2021-10-01T16:42:17.047026image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

latitudelongitudemagnitudedelta_logldelta_logwdepth_offsetdip_offsetstrike_offsetrake_offsetfault_idxslurm_idlatitude_paramlongitude_paramlengthwidthslipstrikedipdepthrakedepth_offset_paramrake_offset_paramdip_offset_paramstrike_offset_paramslurm_id_paramBulukumba heightBulukumba arrivalSumenep heightSumenep arrivalNipa-Nipa heightBima heightslurm_id_output
0-7.741000119.1280008.5000000.0000000.0000000.0000000.0000000.0000000.0000000.043936152-7.741000119.128000351813.782903141953.4115373.15850383.42335628.29609620272.53755490.00.0000000.0000000.0000000.000000439361522.74671746.2192310.814877-1.666650e+971.636942-3331.28395043936152
1-7.741000119.1280008.5000000.0000000.0000000.0000000.0000000.0000000.0000000.043936152-7.741000119.128000351813.782903141953.4115373.15850383.42335628.29609620272.53755490.00.0000000.0000000.0000000.000000439361522.74671746.2192310.814877-1.666650e+971.636942-3331.28395043936152
2-7.800657119.0675988.492728-0.016183-0.0031850.1462423.1673884.9298074.3299520.043936152-7.800657119.067598335987.602367140211.8662913.26530584.13657327.74918320384.97747390.00.1462424.3299523.1673884.929807439361522.54290847.3050310.831664-1.666650e+971.518573-3331.27878443936152
3-5.557000120.5160008.900000-0.500000-0.5000000.0000000.0000000.0000000.0000001.043936137-5.557000120.516000180165.28271359133.79750558.943121160.48077425.00000019993.41926490.00.0000000.0000000.0000000.0000004393613710.20074611.6802352.1415872.334711e+0211.181753-3331.10262643936137
4-5.557000120.5160008.900000-0.500000-0.5000000.0000000.0000000.0000000.0000001.043936137-5.557000120.516000180165.28271359133.79750558.943121160.48077425.00000019993.41926490.00.0000000.0000000.0000000.0000004393613710.20074611.6802352.1415872.334711e+0211.181753-3331.10262643936137
5-5.557000120.5160008.900000-0.500000-0.5000000.0000000.0000000.0000000.0000001.043936137-5.557000120.516000180165.28271359133.79750558.943121160.48077425.00000019993.41926490.00.0000000.0000000.0000000.0000004393613710.20074611.6802352.1415872.334711e+0211.181753-3331.10262643936137
6-5.557000120.5160008.900000-0.500000-0.5000000.0000000.0000000.0000000.0000001.043936137-5.557000120.516000180165.28271359133.79750558.943121160.48077425.00000019993.41926490.00.0000000.0000000.0000000.0000004393613710.20074611.6802352.1415872.334711e+0211.181753-3331.10262643936137
7-5.557000120.5160008.900000-0.500000-0.5000000.0000000.0000000.0000000.0000001.043936137-5.557000120.516000180165.28271359133.79750558.943121160.48077425.00000019993.41926490.00.0000000.0000000.0000000.0000004393613710.20074611.6802352.1415872.334711e+0211.181753-3331.10262643936137
8-5.557000120.5160008.900000-0.500000-0.5000000.0000000.0000000.0000000.0000001.043936137-5.557000120.516000180165.28271359133.79750558.943121160.48077425.00000019993.41926490.00.0000000.0000000.0000000.0000004393613710.20074611.6802352.1415872.334711e+0211.181753-3331.10262643936137
9-5.557000120.5160008.900000-0.500000-0.5000000.0000000.0000000.0000000.0000001.043936137-5.557000120.516000180165.28271359133.79750558.943121160.48077425.00000019993.41926490.00.0000000.0000000.0000000.0000004393613710.20074611.6802352.1415872.334711e+0211.181753-3331.10262643936137

Last rows

latitudelongitudemagnitudedelta_logldelta_logwdepth_offsetdip_offsetstrike_offsetrake_offsetfault_idxslurm_idlatitude_paramlongitude_paramlengthwidthslipstrikedipdepthrakedepth_offset_paramrake_offset_paramdip_offset_paramstrike_offset_paramslurm_id_paramBulukumba heightBulukumba arrivalSumenep heightSumenep arrivalNipa-Nipa heightBima heightslurm_id_output
4094-5.334398120.5205358.831764-0.482675-0.512459-0.9778839.373726-1.058943-3.9826181.043936044-5.334398120.520535172695.91360254822.49171452.401697158.88865125.025960.92879490.0-0.977883-3.9826189.373726-1.0589434393604410.52999315.5022681.6041402.397354e+0211.684931-3331.25038843936044
4095-5.381043120.4351628.841932-0.495470-0.508973-0.3165673.212069-1.368671-1.6109151.043936044-5.381043120.435162169749.42280255652.86677554.392848158.43694625.020969.88829790.0-0.316567-1.6109153.212069-1.3686714393604410.22869111.2631181.5888772.451396e+0212.347939-3331.35784443936044
4096-5.381043120.4351628.841932-0.495470-0.508973-0.3165673.212069-1.368671-1.6109151.043936044-5.381043120.435162169749.42280255652.86677554.392848158.43694625.020969.88829790.0-0.316567-1.6109153.212069-1.3686714393604410.22869111.2631181.5888772.451396e+0212.347939-3331.35784443936044
4097-5.413774120.4179558.833003-0.491954-0.507778-0.674698-1.456393-3.140962-0.2958721.043936044-5.413774120.417955169297.70001355463.92358853.061855158.57361725.019811.46515990.0-0.674698-0.295872-1.456393-3.1409624393604410.01289211.1047611.6129382.458263e+0212.373345-3331.41156343936044
4098-5.365058120.2976108.648523-0.499096-0.522697-0.822384-1.1869430.624825-3.6807151.043936044-5.365058120.297610133337.72215747194.38371541.867851158.58099625.017932.15236890.0-0.822384-3.680715-1.1869430.624825439360447.76827712.0280360.765181-1.666650e+9713.160536-3331.74667743936044
4099-5.321918120.4426428.718725-0.511087-0.521280-1.7271062.738689-2.3332655.1761991.043936044-5.321918120.442642141158.11956249695.12529847.863875158.39812425.023013.18627090.0-1.7271065.1761992.738689-2.333265439360446.40869813.6477041.182858-1.666650e+979.586534-3331.67667043936044
4100-5.393075120.4921978.671052-0.512443-0.526121-0.9838071.659368-2.0329503.8468551.043936044-5.393075120.492197132860.97206547556.30171145.072528158.82305625.023077.33082490.0-0.9838073.8468551.659368-2.032950439360448.88401415.9080011.177938-1.666650e+979.311714-3331.62775743936044
4101-5.393075120.4921978.671052-0.512443-0.526121-0.9838071.659368-2.0329503.8468551.043936044-5.393075120.492197132860.97206547556.30171145.072528158.82305625.023077.33082490.0-0.9838073.8468551.659368-2.032950439360448.88401415.9080011.177938-1.666650e+979.311714-3331.62775743936044
4102-5.315118120.5225418.728655-0.499453-0.528763-1.729698-0.1450660.3006197.1711221.043936044-5.315118120.522541146736.07260749181.58981648.148526158.89722925.026602.41986090.0-1.7296987.171122-0.1450660.3006194393604411.83310117.8990581.337636-1.666650e+9710.447230-3331.56398143936044
4103-5.315118120.5225418.728655-0.499453-0.528763-1.729698-0.1450660.3006197.1711221.043936044-5.315118120.522541146736.07260749181.58981648.148526158.89722925.026602.41986090.0-1.7296987.171122-0.1450660.3006194393604411.83310117.8990581.337636-1.666650e+9710.447230-3331.56398143936044

Duplicate rows

Most frequently occurring

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99-8.015760116.0926328.2069970.018931-0.01296913.89668047.1318210.318343-17.1343740.043936884-8.015760116.092632258158.938250112590.8818321.97262888.69736927.86086119652.43300790.013.896680-17.13437447.1318210.318343439368840.326752-1.666650e+970.327020-1.666650e+970.134524-3332.13099443936884800
147-7.781941114.5516308.4417480.016262-0.03715310.10694533.0502614.414900-40.3529260.043936162-7.781941114.551630340475.189326125187.8442473.02631588.40109936.58158020692.73714090.010.106945-40.35292633.0502614.414900439361620.171208-1.666650e+970.431767-1.666650e+970.204226-3332.09905943936162551
175-7.595793114.7161378.919487-0.010666-0.0227646.966968-68.518029-2.2948303.9375190.043936170-7.595793114.716137569120.753494179846.7076156.56240488.42974936.48231420677.07106190.06.9669683.937519-68.518029-2.294830439361700.688598-1.666650e+971.6990561.591974e+020.917937-3332.00152743936170346
123-7.926603115.9960148.3145900.018714-0.0139029.62689035.9231524.783730-8.5840520.043936884-7.926603115.996014293753.845706120994.3007152.33924688.78133529.02737119675.72877490.09.626890-8.58405235.9231524.783730439368840.502501-1.666650e+970.508497-1.666650e+970.277556-3332.08430243936884156
172-7.647708114.7216758.892015-0.013396-0.0368923.990032-38.716404-2.17972711.3741050.043936170-7.647708114.721675547136.457676170826.0814076.53599888.47016236.43413520629.89085490.03.99003211.374105-38.716404-2.179727439361700.952772-1.666650e+97-9997.125386-1.666650e+970.784239-3332.03109743936170120
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